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researcher

Lin Yang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • cs.LG1
  • eess.AS1
ORCID 0000-0003-1550-5792
same name
  • Lin Yang — 8 papers
  • Lin Yang — 7 papers, h 7
  • Lin Yang — 6 papers, h 21
  • Lin Yang — 6 papers, h 10
  • Lin Yang — 4 papers
  • Lin Yang — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2022

LeVoice ASR Systems for the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge

Yan Jia, Mi Hong, Jingyu Hou +7

This paper describes LeVoice automatic speech recognition systems to track2 of intelligent cockpit speech recognition challenge 2022. Track2 is a speech recognition task without li…

cs.CV2022★ 4 cited

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images

Pingyi Chen, Chenglu Zhu, Zhongyi Shui +4

The success of supervised deep learning models in medical image segmentation relies on detailed annotations. However, labor-intensive manual labeling is costly and inefficient, esp…

cs.LG2021★ 1 cited

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

Yang Lin, Irena Koprinska, Mashud Rana

In this paper, we present SSDNet, a novel deep learning approach for time series forecasting. SSDNet combines the Transformer architecture with state space models to provide probab…

cs.CL2021

Hybrid Curriculum Learning for Emotion Recognition in Conversation

Lin Yang, Yi Shen, Yue Mao +1

Emotion recognition in conversation (ERC) aims to detect the emotion label for each utterance. Motivated by recent studies which have proven that feeding training examples in a mea…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.